The answer is fairly obvious though, isn't it? For scientists or novice programmers wanting to do some numerically intensive work, Matlab has typically offered one of the quickest (in time-to-solution) prototyping platforms. One of the keys being that you can get started very quickly, with minimal setup (besides the expensive license and installation, something most academics need not worry about). As a former academic programmer and now a consultant that helps companies commercialize such prototypes, I understand your pain, but at the same time I completely understand why a physicist, imaging scientist, or finance major ends up using Matlab over something like C++ or Python. Same goes for LabView, and if you despise Matlab, I challenge you to give LabView a whirl. The gap between the Matlabs and Labviews of the world and the other programming languages is closing in terms of ease of use and setup time, but we're not there yet and also momentum shifts on this type of thing take a loooong time. If you come into a lab and are working on a research project that was started in Matlab, odds are, in the interest of finishing your thesis on time, you're unlikely to port it to another language, even if you have the skill to do so.